Publications (64) Francisco Martínez Álvarez publications

filter_list Artificial Intelligence

2025

  1. Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas

    Ecological Informatics, Vol. 85

2024

  1. An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. An evolutionary triclustering approach to discover electricity consumption patterns in France

    Proceedings of the ACM Symposium on Applied Computing

  3. Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting

    Proceedings of International Conference on Smart Systems and Technologies, SST 2024

  4. Explaining deep learning models for ozone pollution prediction via embedded feature selection

    Applied Soft Computing, Vol. 157

  5. From simple to complex: A sequential method for enhancing time series forecasting with deep learning

    Logic Journal of the IGPL, Vol. 32, Núm. 6, pp. 986-1003

  6. Ground-Level Ozone Forecasting Using Explainable Machine Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  7. Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

    Future Generation Computer Systems, Vol. 154, pp. 397-412

  8. Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection

    Lecture Notes in Networks and Systems

2023

  1. A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia

    Energies, Vol. 16, Núm. 5

  2. A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia

    Lecture Notes in Networks and Systems

  3. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal

    Proceedings of the ACM Symposium on Applied Computing

  5. A new Apache Spark-based framework for big data streaming forecasting in IoT networks

    Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100

  6. A new approach based on association rules to add explainability to time series forecasting models

    Information Fusion, Vol. 94, pp. 169-180

  7. A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting

    Journal of Big Data, Vol. 10, Núm. 1

  8. A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area

    International Journal of Digital Earth, Vol. 16, Núm. 1, pp. 3661-3679

  9. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  10. Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market

    Expert Systems with Applications, Vol. 227

  11. Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)